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MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
The development of high-throughput technologies revealed the existence of non-canonical short open reading frames (sORFs) on most eukaryotic ribonucleic acids. They are ubiquitous genetic elements conserved across species and suspected to be involved in numerous cellular processes. MetamORF (https:/...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218702/ https://www.ncbi.nlm.nih.gov/pubmed/34156446 http://dx.doi.org/10.1093/database/baab032 |
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author | Choteau, Sebastien A Wagner, Audrey Pierre, Philippe Spinelli, Lionel Brun, Christine |
author_facet | Choteau, Sebastien A Wagner, Audrey Pierre, Philippe Spinelli, Lionel Brun, Christine |
author_sort | Choteau, Sebastien A |
collection | PubMed |
description | The development of high-throughput technologies revealed the existence of non-canonical short open reading frames (sORFs) on most eukaryotic ribonucleic acids. They are ubiquitous genetic elements conserved across species and suspected to be involved in numerous cellular processes. MetamORF (https://metamorf.hb.univ-amu.fr/) aims to provide a repository of unique sORFs identified in the human and mouse genomes with both experimental and computational approaches. By gathering publicly available sORF data, normalizing them and summarizing redundant information, we were able to identify a total of 1 162 675 unique sORFs. Despite the usual characterization of ORFs as short, upstream or downstream, there is currently no clear consensus regarding the definition of these categories. Thus, the data have been reprocessed using a normalized nomenclature. MetamORF enables new analyses at locus, gene, transcript and ORF levels, which should offer the possibility to address new questions regarding sORF functions in the future. The repository is available through an user-friendly web interface, allowing easy browsing, visualization, filtering over multiple criteria and export possibilities. sORFs can be searched starting from a gene, a transcript and an ORF ID, looking in a genome area or browsing the whole repository for a species. The database content has also been made available through track hubs at UCSC Genome Browser. Finally, we demonstrated an enrichment of genes harboring upstream ORFs among genes expressed in response to reticular stress. Database URL https://metamorf.hb.univ-amu.fr/ |
format | Online Article Text |
id | pubmed-8218702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82187022021-06-23 MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses Choteau, Sebastien A Wagner, Audrey Pierre, Philippe Spinelli, Lionel Brun, Christine Database (Oxford) Original Article The development of high-throughput technologies revealed the existence of non-canonical short open reading frames (sORFs) on most eukaryotic ribonucleic acids. They are ubiquitous genetic elements conserved across species and suspected to be involved in numerous cellular processes. MetamORF (https://metamorf.hb.univ-amu.fr/) aims to provide a repository of unique sORFs identified in the human and mouse genomes with both experimental and computational approaches. By gathering publicly available sORF data, normalizing them and summarizing redundant information, we were able to identify a total of 1 162 675 unique sORFs. Despite the usual characterization of ORFs as short, upstream or downstream, there is currently no clear consensus regarding the definition of these categories. Thus, the data have been reprocessed using a normalized nomenclature. MetamORF enables new analyses at locus, gene, transcript and ORF levels, which should offer the possibility to address new questions regarding sORF functions in the future. The repository is available through an user-friendly web interface, allowing easy browsing, visualization, filtering over multiple criteria and export possibilities. sORFs can be searched starting from a gene, a transcript and an ORF ID, looking in a genome area or browsing the whole repository for a species. The database content has also been made available through track hubs at UCSC Genome Browser. Finally, we demonstrated an enrichment of genes harboring upstream ORFs among genes expressed in response to reticular stress. Database URL https://metamorf.hb.univ-amu.fr/ Oxford University Press 2021-06-22 /pmc/articles/PMC8218702/ /pubmed/34156446 http://dx.doi.org/10.1093/database/baab032 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Choteau, Sebastien A Wagner, Audrey Pierre, Philippe Spinelli, Lionel Brun, Christine MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses |
title | MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
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title_full | MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
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title_fullStr | MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
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title_full_unstemmed | MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
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title_short | MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses
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title_sort | metamorf: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218702/ https://www.ncbi.nlm.nih.gov/pubmed/34156446 http://dx.doi.org/10.1093/database/baab032 |
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